Job Title: R&D IT Business Data Analyst
Position Summary:
We are seeking a highly motivated and detail-oriented R&D IT Business Data Analyst to serve as a critical liaison between IT, R&D, and cross-functional teams in the Biotech Industry. This role supports the integration and optimization of scientific data systems, ensures robust data governance, and contributes to the digital transformation of biotech R&D operations. The ideal candidate has strong analytical skills, understands the complexities of biotech data, and can translate scientific and business needs into actionable IT solutions.
Key Responsibilities:
Systems Administration & Implementation:
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Administer and support R&D IT systems, including Benchling ELN and other biotech applications.
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Support implementation and validation of GxP systems following CSV/CSA standards.
Business Analysis & Stakeholder Collaboration:
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Partner with R&D, Clinical, Quality, Technical Operations, and IT teams to gather and translate complex business needs into functional and technical requirements.
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Facilitate communication between business stakeholders and IT, ensuring clarity and alignment on data-related initiatives.
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Serve as a liaison between internal and external teams.
Data Management & Integration:
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Support data collection, cleansing, integration, and governance across systems such as ELN, LIMS, and cloud-based platforms.
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Help develop and manage data pipelines, integration plans, and architecture in collaboration with internal IT and MSP partners.
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Evaluate and assist in onboarding new tools and platforms to enhance research and data capabilities.
Reporting & Analytics:
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Drive design and implement dashboards, KPIs, and data visualizations using tools like Spotfire, Power BI, or other BI platforms.
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Perform ad hoc and strategic data analyses to support scientific and operational decision-making.
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Collaborate with teams to ensure meaningful representation of insights to both technical and non-technical stakeholders.
UI/UX & Workflow Development:
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Assist in the design of user-friendly interfaces, workflows, and wireframes for new or existing R&D systems and applications.
Project & Program Management:
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Lead or support multiple projects simultaneously, ensuring timely delivery and alignment with business goals.
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Identify project risks and dependencies, proposing mitigation strategies to ensure successful outcomes.
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Provide status updates and insights to leadership and stakeholders.
Required Skills & Qualifications:
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Preclinical or Laboratory IT experience.
- IT support for Benchling ELN/ alternative ELNs, and/or LIMS systems
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Excellent communication and collaboration skills with both technical and scientific audiences.
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Strong project management capabilities and the ability to manage competing priorities.
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Experience in querying and analyzing structured and unstructured data.
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familiarity with scripting languages (e.g., Python, R) is a plus.
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Understanding of data modeling, data governance, and analytics methodologies.
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Experience with some or all the following systems/tools is highly desirable:
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GxP Systems for Regulatory, Clinical, Safety, Quality etc.
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Development experience with Business Intelligence tools (e.g., Spotfire, Power BI)
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Python and/or R language
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AWS cloud services (VPC, EC2, S3)
Preferred Experience:
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Prior experience working in a biotech, pharma, or life sciences R&D environment.
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Comfortable working with senior leadership, scientists, and cross-functional teams.
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Demonstrated success in managing data-centric IT projects in a regulated environment.